crop-yield-prediction

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marcosrbenso / ClimateImpactML

Random Forest Algorithms to predict climate impact-drivers (CID), a.k.a., climate extreme indices for impact studies, in crop yields of soybean maize using Random Forest and XGBoost in a SHAP (SHapley Additive exPlanations) framework

machine-learning random-forest xgboost shap crop-yield-prediction

Updated Sep 3, 2024
R

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crop-yield-prediction

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marcosrbenso / ClimateImpactML

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